Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sentencepiecebpe_wikipedia_french_pipeline
is a English model originally trained by BioMedTok.
How to use
pipeline = PretrainedPipeline("sentencepiecebpe_wikipedia_french_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sentencepiecebpe_wikipedia_french_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | sentencepiecebpe_wikipedia_french_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 412.6 MB |
References
https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings